Titlebook: Neural Information Processing; 21st International C Chu Kiong Loo,Keem Siah Yap,Kaizhu Huang Conference proceedings 2014 Springer Internati

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Transfer Entropy and Information Flow Patterns in Functional Brain Networks during Cognitive Activite additional information on how one brain region influences another. The current study explores the application of normalized transfer entropy to EEG data to detect and identify the patterns of information flow in the functional brain networks during cognitive activity. Using a mix of signal process

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Human Implicit Intent Discrimination Using EEG and Eye Movementa and brain wave signal obtained from eye-tracker and Electroencephalography (EEG) sensors respectively. From the eye movement data, we extract human implicit intention related to features such as fixation count and fixation duration corresponding to the areas of interest (AOI). Also, we analyze the

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Towards Establishing Relationships between Human Arousal Level and Motion Masser. While there is a number of solid results indicating that in many cases arousal level may influence motor activities, measuring the strength, and modeling such relation remains relatively neglected area. The main weakness of the existing results is, that unlike the measurements of the arousal lev

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An Agent Response System Based on Mirror Neuron and Theory of Mind the aspects of biological response method. Especially, the investigations about generating the agent behavior like the human are studied using rule or ontology. However these previous system do not work flexibly. Propose an agent response system based on human brain processes can responds in change

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